Description: 在matlab中，最小二乘法，模型参数确定和参数检验- In matlab, least squares method, the model parameter determined
and the parameter examines Platform: |
Size: 1024 |
Author:张元锋 |
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Description: matlab使用BP网络的例子,使用Levenberg Marquardt算法提高训练速度,效果不错-use Matlab BP example, the use of Levenberg Marquardt algorithm to improve training speed, good results Platform: |
Size: 4096 |
Author:汤泽世 |
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Description: bp神经网络算法是解决最优化问题的先进算法之一，本论文讨论了神经网络中使用最为广泛的前馈神经网络。其网络权值学习算法中影响最大的就是误差反向传播算法（back-propagation简称BP算法）。BP算法存在局部极小点，收敛速度慢等缺点。基于优化理论的Levenberg-Marquardt算法忽略了二阶项。该文讨论当误差不为零或者不为线性函数即二阶项S(W)不能忽略时的Hesse矩阵的近似计算，进而训练网络。-bp neural network algorithm to solve optimization problems, one of the advanced algorithm, the paper discusses the neural network in the most widely used feed-forward neural network. Its network weights learning algorithm in the greatest impact is the error back-propagation algorithm (back-propagation algorithm referred to as BP). BP algorithm for the existence of local minimum points, such as the shortcomings of slow convergence. Optimization theory based on the Levenberg-Marquardt algorithm ignores the second-order item. In this paper, the discussion when the error is not zero or not that is second-order linear function of S (W) can not be ignored when the Hesse matrix of approximate calculation, and then training the network. Platform: |
Size: 19456 |
Author:刘慧 |
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Description: Levenberg-Marquardt优化单应性矩阵，也可经过修改用于相机标定参数的优化-Levenberg-Marquardt optimization homography can also be modified for optimization of camera calibration parameters Platform: |
Size: 2048 |
Author:卫东 |
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Description:
％ Train a two layer neural network with the Levenberg-Marquardt
％ method.
％
％ If desired, it is possible to use regularization by
％ weight decay. Also pruned (ie. not fully connected) networks can
％ be trained.
％
％ Given a set of corresponding input-output pairs and an initial
％ network,
％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms)
％ trains the network with the Levenberg-Marquardt method.
％
％ The activation functions can be either linear or tanh. The
％ network architecture is defined by the matrix NetDef which
％ has two rows. The first row specifies the hidden layer and the
％ second row specifies the output layer.- Train a two layer neural network with the Levenberg-Marquardt method. If desired, it is possible to use regularization by weight decay. Also pruned (ie. not fully connected) networks can be trained. Given a set of corresponding input-output pairs and an initial network, [W1, W2, critvec, iteration, lambda] = marq (NetDef, W1, W2, PHI, Y, trparms) trains the network with the Levenberg-Marquardt method . The activation functions can be either linear or tanh. The network architecture is defined by the matrix NetDef which has two rows. The first row specifies the hidden layer and the second row specifies the output layer. Platform: |
Size: 3072 |
Author:张镇 |
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Description: Levenberg-Marquardt 信赖域方法求解非线性方程组的Matlab程序-Levenberg-Marquardt trust region method for solving nonlinear equations of the Matlab program Platform: |
Size: 1024 |
Author:蔚无 |
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Description: 从国外大学上下的Levenberg算法程序-From foreign universities Levenberg algorithm program from top to bottom Platform: |
Size: 877568 |
Author:李冰 |
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Description: 这是一个实现Levenberg-Marquardt算法的MATlAB代码，总共4个文件f.m产生目标评价函数，l_m_trust.m是进行L_M算法迭代处理，trtestlm.m是采用置信域方法决定更新参数和置信系数，而测试函数入口时test_lm.m，每个函数里面有详细的中文注释，希望能给你的工作带来帮助！-This is an implementation of Levenberg-Marquardt algorithm MATlAB code, generated a total of four documents fm objective evaluation function, l_m_trust.m is iterative processing algorithm for L_M, trtestlm.m Confidence region method is used decided to update the parameters and confidence coefficient and the test function entrance test_lm.m Platform: |
Size: 4096 |
Author:秦论剑 |
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Description: 这个程序实现了Levenberg Marquardt Fletcher(LMF)算法，并用于非线性最小二乘的计算。用于在一个非线性多项式组成的矛盾/超定方程组中，找到最优的解。-This program implements the Levenberg Marquardt Fletcher (LMF) algorithm, and used nonlinear least squares calculations. Formed in a non-linear polynomial for the conflict/overdetermined equations, find the optimal solution. Platform: |
Size: 4096 |
Author:蒋常富 |
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Description: 这里有个Levenberg-Marquardt算法的程序和ppt介绍-Here' s a Levenberg-Marquardt algorithm described procedures and ppt Platform: |
Size: 2695168 |
Author:王毅 |
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Description: 采用Levenberg-Marquardt算法实现函数的参数估计(Parameter estimation of function by using Levenberg-Marquardt algorithm) Platform: |
Size: 1024 |
Author:lnkingjtu |
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